code: def __init__(self, config, model_path):
      super().__init__(config)
  
      self.tokenizer = T5Tokenizer.from_pretrained(model_path)
  
file_path: lavis/lavis/models/pnp_vqa_models/pnp_unifiedqav2_fid.py
imports: import torch
  import torch.nn
  from lavis.common.registry import registry
  from lavis.models.base_model import BaseModel
  from lavis.common.utils import get_abs_path
  from transformers import T5Config, T5Tokenizer, T5ForConditionalGeneration
label_desc: Use image node_id 1 to create a new PNPUnifiedQAv2FiD object from inherited base classes: T5ForConditionalGeneration, BaseModel with example: obj = PNPUnifiedQAv2FiD(config, model_path)